Assistant Professor of Psychology

Vikranth Bejjanki’s research is concerned with examining the neural and computational mechanisms that allow humans to learn from their experiences. He uses a range of methods, including psychophysics, computational modeling, and functional neuroimaging, to study learning at multiple levels of analysis. His published work can be found in journals such as Nature Neuroscience, Proceedings of the National Academy of Sciences, PLoS Computational Biology, Neural Computation and the Journal of Vision.

Bejjanki earned bachelor’s degrees in computer engineering and cognitive science from the University at Buffalo, and a master’s degree and doctorate in brain and cognitive sciences from the University of Rochester. He comes to Hamilton from Princeton University, where he was a postdoctoral researcher at the Princeton Neuroscience Institute.

Recent Courses Taught

Fundamentals of Human Neuroscience
Psychology and Neuroscience of Learning
Introduction to Psychology